“It Cannot Be Emphasized Enough How Everything Is Interconnected”: Ecological Wisdom, Cross-Cultural Insight, and Pope Francis’ Social Teaching
Bibliographic record
Abstract
When understood as anthropogenic phenomena, contemporary social and ecological crises can be framed as moral issues, arising from human action and neglect of duties to marginalized human and ecological neighbours. In so much as the roots of these problematic outcomes lie in worldview, ecological wisdom can help in fostering spaces for integrated ethical responses to associated challenges like global climate change, social injustice, and ecological delegation. The present article highlights select instances of thinkers who express convergences between social and ecological concern by exploring cross-cultural perspectives on ecological wisdom. Then, with the aid of a green theo-ecoethical viewpoint informed by those perspectives, it maps relevant teachings of Pope Francis that are expressed in two of his most important exercises of his magisterial office: Evangelii Gaudium and Laudato Si’. As brought into view through dialogue with contemporary articulations of ecological wisdom, inclusive of overlapping Indigenous and academic insights, this approach helps discern a noteworthy measure of rhetorical support for socio-ecological flourishing found in the teaching of Pope Francis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.052 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".